Anna Kohlmann
Impact in
- Gastroenterology top 5%
- Gastrointestinal Tumor Research and Treatment
Papers in
-
- Signaling Pathways in Disease 1
- Sphingolipid Metabolism and Signaling 1
- Oncology 5
- Peptidase Inhibition and Analysis 1
- Colorectal Cancer Treatments and Studies 1
- Cancer-related Molecular Pathways 1
- Co-authors
- David C. Dalgarno (3 shared papers)Xiaotian Zhu (3 shared papers)Louis M. Renzetti (1 shared paper)Scott Wardwell (2 shared papers)Matthew Clark (1 shared paper)Michael C. Heinrich (1 shared paper)Ying Zhang (1 shared paper)Daniel I. Resnicow (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Anna Kohlmann
10 papers receiving 290 citations
Peers
Comparison fields: 5 of 53
- Gastroenterology 77
- Hematology 28
- Molecular Biology 161
- Pulmonary and Respiratory Medicine 76
- Organic Chemistry 59
Countries citing papers authored by Anna Kohlmann
This map shows the geographic impact of Anna Kohlmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna Kohlmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Kohlmann more than expected).
Fields of papers citing papers by Anna Kohlmann
This network shows the impact of papers produced by Anna Kohlmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna Kohlmann. The network helps show where Anna Kohlmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Kohlmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 123 | |
| 2 | 2020 | 79 | |
| 3 | 2015 | 34 | |
| 4 | 1976 | 24 | |
| 5 | 2012 | 18 | |
| 6 | 2024 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2015 | 2 | |
| 9 | 2013 | 1 | |
| 10 | 2020 | 1 |
About Anna Kohlmann
Anna Kohlmann is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Pathology and Forensic Medicine, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Lung Cancer Treatments and Mutations (2 papers), Peptidase Inhibition and Analysis (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Signaling Pathways in Disease (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Gastroenterology (77 citations), Hematology (28 citations), Molecular Biology (161 citations), Pulmonary and Respiratory Medicine (76 citations) and Organic Chemistry (59 citations). Anna Kohlmann has collaborated with scholars based in United States and China. Frequent co-authors include David C. Dalgarno, Xiaotian Zhu, Louis M. Renzetti, Scott Wardwell, Matthew Clark, Michael C. Heinrich, Ying Zhang, Daniel I. Resnicow, Sadanand Vodala and Haihong Ni. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Research, Molecular Cancer Therapeutics, Clinical Cancer Research and ACS Medicinal Chemistry Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.